temporal-graphs

KimMeen/Awesome-GNN4TS

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

RecallGraph/RecallGraph

A versioning data store for time-variant graph data.

TorchSpatiotemporal/tsl

tsl: a PyTorch library for processing spatiotemporal data.

domargan/awesome-dynamic-graphs

A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work

MGitHubL/Awesome-Temporal-Graph-Learning

Awesome Temporal Graph Learning is a collection of SOTA, novel temporal graph learning methods (papers, codes, and datasets).

corradomonti/learnable-opinion-dynamics

Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"

bfGraph/STGraph

🌟 Vertex Centric approach for building GNN/TGNNs

ComplexData-MILA/TGX

Temporal Graph Analysis with TGX

dianaow/d3-network-time

d3 plugin to create a temporal network visualization

gravins/TG-ODE

Official reference implementation of our paper "Temporal Graph ODEs for Irregularly-Sampled Time Series" accepted at IJCAI 24

mizvol/anomaly-detection

Anomaly detection in time-series networks. Spatio-temporal Anomaly Detection

overtime3/overtime

A Temporal Networks Library written in Python

jmftrindade/awesome-temporal-graphs

A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work

max-bytes/omnikeeper

omnikeeper is a general-purpose and highly flexible data store solution and application framework

KuroginQin/IDEA

[TKDE'23] Demo code of the paper entitled "High-Quality Temporal Link Prediction for Weighted Dynamic Graphs via Inductive Embedding Aggregation", which has been accepted by IEEE TKDE

lgalke/Incremental-GNNs

Incremental Training of Graph Neural Networks on Temporal Graphs under Distribution Shift

sbonner0/temporal-neighbourhood-aggregation

Code for the Big Data 2019 Paper - Temporal Neighbourhood Aggregation: Predicting Future Links in Temporal Graphs via Recurrent Variational Graph Convolutions

simonepiaggesi/hosgns

Data and code repository from "Time-varying graph representation learning via higher-order skip-gram with negative sampling"

EdisonLeeeee/GraphSSM

[NeurIPS 2024] State Space Models on Temporal Graphs: A First-Principles Study

ysig/stream_graph

A prototype implementation of stream_graphs:

albertiniufu/dynamictemporalgraph

A dynamic data structure for reachability queries for temporal graphs

dtortorella/dyngraphesn

Dynamic Graph Echo State Networks

claCase/Master-Thesis

Graph Attention Recurrent Neural Network for Bilateral Trade Prediction and Adjacency Matrix Sampling

nunesg/compact-temporal-graphs

Library of Compact Data Structures to test different implementations of Compact Temporal Graphs using several levels of compactness

senguptaneha/temporalReachabilityC

ARROW: Approximating Reachability using Random walks Over Web scale graphs

yajun668/AtomicCliques

The code accompanies the paper "On Atomic Cliques in Temporal Graphs".

FraLotito/span_trusses

Code of the paper "Efficient Algorithms to Mine Maximal Span-Trusses From Temporal Graphs".

zeno129/DYANE

DYnamic Attributed Node rolEs (DYANE) is an attributed dynamic-network generative model based on temporal motifs and attributed node behavior.

lukablagoje/temporal-patterns-of-reciprocity-in-communication-networks

The study delves into the dynamics of human communication within various social settings, from intimate groups to global online platforms, focusing on the reciprocal exchange of information as a cornerstone for social stability, cohesion, and cooperation.

nicolopinci/INTEGRA

soca-git/overtime

A Temporal Networks Library written in Python

nik1as/generationoftemporalgraphs

sabdulrazzaque/Tuna_Gillnet_Fisheries_Bycatch_Cetaceans_NIO

Each script and notebook in the repository is well-documented, with extensive logging for transparency and reproducibility. The repository is designed for researchers, data scientists, and conservationists interested in applying data-driven methods to marine ecology and species management.

TheDataDesk/DataQualityCheck

Data Quality: Company X' Insights

arthurarabelo/temporal-graphs-practical-task

Segundo trabalho prático da disciplina de Algoritmos I